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Number of items: 10.

Ramaswamy, Rajesh; González-Segredo, Nélido; Sbalzarini, Ivo F; Grima, Ramon (2012). Discreteness-induced concentration inversion in mesoscopic chemical systems. Nature Communications, 3:779.

Ramaswamy, Rajesh; Sbalzarini, Ivo F (2011). A partial-propensity formulation of the stochastic simulation algorithm for chemical reaction networks with delays. Journal of Chemical Physics, 134(1):014106.

Ramaswamy, Rajesh; Sbalzarini, Ivo F (2011). Exact on-lattice stochastic reaction-diffusion simulations using partial-propensity methods. Journal of Chemical Physics, 135(24):244103.

Müller, Christian L; Ramaswamy, Rajesh; Sbalzarini, Ivo F (2011). Global Parameter Identification of Stochastic Reaction Networks from Single Trajectories. Advances in Experimental Medicine and Biology, 736:477-498.

Ramaswamy, Rajesh; Sbalzarini, Ivo F (2011). Intrinsic noise alters the frequency spectrum of mesoscopic oscillatory chemical reaction systems. Scientific Reports, 1:154.

Ramaswamy, Rajesh; Sbalzarini, Ivo F; González-Segredo, Nélido (2011). Noise-Induced Modulation of the Relaxation Kinetics around a Non-Equilibrium Steady State of Non-Linear Chemical Reaction Networks. PLoS ONE, 6(1):e16045.

Ramaswamy, Rajesh; Sbalzarini, Ivo F (2010). Fast Exact Stochastic Simulation Algorithms Using Partial Propensities. In: International Conference of Numerical Analysis and Applied Mathematics, Rhodes, Greece, 19 September 2010 - 25 September 2010, 1338-1341.

Ramaswamy, Rajesh; Sbalzarini, Ivo F (2010). A partial-propensity variant of the composition-rejection stochastic simulation algorithm for chemical reaction networks. The Journal of chemical physics, 132(4):044102.

Polyansky, Anton A; Ramaswamy, Rajesh; Volynsky, Pavel E; Sbalzarini, Ivo F; Marrink, Siewert J; Efremov, Roman G (2010). Antimicrobial Peptides Induce Growth of Phosphatidylglycerol Domains in a Model Bacterial Membrane. Journal of Physical Chemistry Letters, 1(20):3108-3111.

Ramaswamy, Rajesh; González-Segredo, Nélido; Sbalzarini, Ivo F (2009). A new class of highly efficient exact stochastic simulation algorithms for chemical reaction networks. The Journal of chemical physics, 130(24):244104.

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